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Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation

Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation

Given this context, we hypothesized that ML models could predict static lung volumes using spirometry alone across a diverse cohort of lung conditions. Such an approach could reduce the need for identifying those who would benefit most from formal lung volume assessments. In this study, we applied ML approaches to develop and validate an algorithm for estimating lung volumes and capacities from standard spirometry.

Scott A Helgeson, Zachary S Quicksall, Patrick W Johnson, Kaiser G Lim, Rickey E Carter, Augustine S Lee

JMIR AI 2025;4:e65456

App- and Wearable-Based Remote Monitoring for Patients With Myasthenia Gravis and Its Specialists: Feasibility and Usability Study

App- and Wearable-Based Remote Monitoring for Patients With Myasthenia Gravis and Its Specialists: Feasibility and Usability Study

This enabled remote health monitoring throughout the study by active (PROMs and spirometry) and passive (wearable) continuous data collection. Patients were instructed to fill out PROMs and perform spirometry at predefined intervals. They were instructed to wear the wearable during waking hours (at least 14 h per day) throughout the study period and optionally at night.

Maike Stein, Regina Stegherr, Pushpa Narayanaswami, David Legg, Meret Herdick, Andreas Meisel, Lea Gerischer, Sophie Lehnerer

JMIR Form Res 2025;9:e58266

The Long-Term Uptake of Home Spirometry in Regular Cystic Fibrosis Care: Retrospective Multicenter Observational Study

The Long-Term Uptake of Home Spirometry in Regular Cystic Fibrosis Care: Retrospective Multicenter Observational Study

Understanding how people with CF incorporate home spirometry into their treatment routine is crucial for evaluating its added value. There is a specific need for more insights into the long-term uptake of home spirometry in regular CF care. This study aimed to examine the uptake of home spirometry in regular CF care in 5 Dutch CF centers over 2.5 years.

Pia Bertram, Martinus C Oppelaar, Michiel AGE Bannier, Monique HE Reijers, Hester van der Vaart, Renske van der Meer, Josje Altenburg, Lennart Conemans, Bart L Rottier, Marianne Nuijsink, Lara S van den Wijngaart, Peter JFM Merkus, Jolt Roukema

J Med Internet Res 2025;27:e60689

Integrating Real-Time Air Quality Monitoring, Ecological Momentary Assessment, and Spirometry to Evaluate Asthma Symptoms: Usability Study

Integrating Real-Time Air Quality Monitoring, Ecological Momentary Assessment, and Spirometry to Evaluate Asthma Symptoms: Usability Study

In addition, participants completed home spirometry 5 times per day and ecological momentary assessment (EMA) surveys on a smartphone to determine respiratory symptoms throughout the day. While it was possible for Turner et al [12] to retrospectively assess associations between lung function and exposures within 30 minutes, real-time determination of exposure and its pulmonary impact was not possible.

Barbara Polivka, Kathryn Krueger, Olivia Bimbi, Luz Huntington-Moskos, Sharmilee Nyenhuis, Emily Cramer, Kamal Eldeirawi

JMIR Form Res 2024;8:e60147

Patient Engagement With and Perspectives on a Mobile Health Home Spirometry Intervention: Mixed Methods Study

Patient Engagement With and Perspectives on a Mobile Health Home Spirometry Intervention: Mixed Methods Study

Home spirometry device and onboarding. Screenshot of patient chat experience. FEV1: forced expiratory volume in the first second. The 3 primary outcomes were patient engagement with the intervention, including (1) module engagement, defined as completing at least 1 module of any chat, (2) spirometry engagement, defined as patients who submitted at least 1 home spirometry FEV1 value, or (3) symptom checklist engagement, defined as patients who responded to a symptom-reporting checklist at least once.

Andrew W Liu, William Brown, III, Ndubuisi E Madu, Ali R Maiorano, Olivia Bigazzi, Eli Medina, Christopher Sorric, Steven R Hays, Anobel Y Odisho

JMIR Mhealth Uhealth 2024;12:e51236

Impact of Remote Patient Monitoring Platform on Patients With Moderate to Severe Persistent Asthma: Observational Study

Impact of Remote Patient Monitoring Platform on Patients With Moderate to Severe Persistent Asthma: Observational Study

The care team monitored the number of check-ins and data generated from remote spirometry. Engagement was assessed by averaging weekly check-ins, alerts, and number of spirometry sessions by the patients. In total, 2 yellow check-ins or 1 red check-in prompted a call to the patient first. The care team made notes and then informed the doctor’s office for further follow-up.

Denzil Reid, Jyotsna Mehta, Karim Anis, Shail Mehta

JMIR Form Res 2023;7:e51065

Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study

Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study

Spirometry adherence rates for the ILD and COPD cohorts were calculated based on the frequency of recordings per week. The American Thoracic Society (ATS) grading system provided with spirometry data was used to assess the quality and usability of the measurements. These analyses enabled us to visualize the optimal protocol frequency for spirometry to limit burden while ensuring useful data.

Malik A Althobiani, Yatharth Ranjan, Joseph Jacob, Michele Orini, Richard James Butler Dobson, Joanna C Porter, John R Hurst, Amos A Folarin

JMIR Form Res 2023;7:e51507

Development and Testing of a Data Capture Device for Use With Clinical Incentive Spirometers: Testing and Usability Study

Development and Testing of a Data Capture Device for Use With Clinical Incentive Spirometers: Testing and Usability Study

Uncertainty around the effective spirometry use is partially due to the scarcity of spirometer compliance data [16]. Compliance measurements, made through self-reporting and staff observation, are difficult to obtain, and when captured, they have demonstrated low patient adherence to the incentive spirometer device [12].

Michael L Burns, Anik Sinha, Alexander Hoffmann, Zewen Wu, Tomas Medina Inchauste, Aaron Retsky, David Chesney, Sachin Kheterpal, Nirav Shah

JMIR Biomed Eng 2023;8:e46653

The Impact of Metabolic Syndrome Risk Factors on Lung Function Impairment: Cross-Sectional Study

The Impact of Metabolic Syndrome Risk Factors on Lung Function Impairment: Cross-Sectional Study

Parameters for pulmonary function status are obtained through spirometry, which is the test of choice to assess lung function [20]. It is simple to execute for those who are well instructed and is routinely performed by health care professionals, for example, in primary care or during health examinations of workers [21,22].

Rafael Molina-Luque, Guillermo Molina-Recio, Domingo de-Pedro–Jiménez, Carlos Álvarez Fernández, María García–Rodríguez, Manuel Romero-Saldaña

JMIR Public Health Surveill 2023;9:e43737

eHealth Technologies for Monitoring Pediatric Asthma at Home: Scoping Review

eHealth Technologies for Monitoring Pediatric Asthma at Home: Scoping Review

For the domains of lung function and medication monitoring, we specifically extracted data on the evaluation of the spirometry technique and inhalation technique, respectively, at home. For papers describing or including an intervention, we additionally extracted who performed the intervention and the effects on (1) symptoms, (2) Qo L, (3) lung function, (4) adherence, (5) self-management, (6) health care use and costs, and (7) school absence.

Mattiènne R van der Kamp, Vera S Hengeveld, Marjolein G J Brusse-Keizer, Boony J Thio, Monique Tabak

J Med Internet Res 2023;25:e45896